CDO Sit-Down | UK Virtual Webinar | June 2024

Overview

As organisations journey into an increasingly data-driven future, the role of Chief Data Officers (CDOs) becomes paramount in shaping strategies, guiding innovation, and fostering resilience. This event explores the evolving landscape of data leadership, highlighting the imperative for CDOs to navigate complexities, drive transformation, and seize opportunities in a dynamic digital ecosystem.

What to expect

• eBooks 5+
• Virtual Meetings 1:1
• Sessions
• Attendees 100+

What we will cover

• Leveraging advanced analytics and AI to drive informed decision-making, fuel innovation, and uncover new avenues for growth.
• Establishing resilient frameworks to ensure data integrity, privacy, and compliance across a spectrum of platforms and environments.
• Transforming data management with agile architectures to adapt, scale, and accelerate insights in a rapidly evolving digital landscape.
• Integrating data sources, partnerships, and ecosystems to create synergies, enhance agility, and unlock new value streams.
• Empowering Chief Data Officers to champion organisational change, foster collaboration, and cultivate a culture where data-driven decisions thrive.

Agenda

• 9:00 am Generative AI: Advanced Analytics for all(UK Virtual) Generative AI is a game-changer for democratising data analysis. It empowers non-experts to glean valuable insights, boosting our ability to extract value from the organisation's data. This can revolutionise how we approach everything from customer segmentation to resource allocation, with generative AI acting as a powerful tool to drive data-driven decision-making across the entire organisation.
• 9:28 am Ensuring Data Quality and Integrity in Asset Management(UK Virtual) In the realm of asset management, maintaining high data quality and integrity is paramount for effective decision-making, regulatory compliance, and operational efficiency. Data quality refers to the accuracy, completeness, consistency, and reliability of data. Data integrity, on the other hand, encompasses the maintenance and assurance of data accuracy and consistency over its lifecycle. Discussion points: • Highlight best practices for establishing data governance to maintain high data quality in asset management. • Review methods and technologies for validating and cleansing asset data to ensure its accuracy. • Discuss approaches to maintaining data integrity throughout the entire asset lifecycle, from acquisition to disposal.
• 9:57 am Future-Proofing Workforce: Apprenticeships at the Nexus of Tech and Data Literacy(UK Virtual) This session explores how innovative apprenticeship programs are pivotal in preparing for the future of work. It will discuss the strategic role of apprenticeships in bridging the tech and skills gap, with a focus on developing data literacy and technical competencies to meet evolving industry demands and drive business innovation. Preparing for the Future of Work: Crafting apprenticeship programs that anticipate and adapt to future tech trends and workforce needs. Bridging the Tech and Skills Gap: Aligning apprenticeship curricula with the necessary data and tech skills to fill current and upcoming industry voids. Cultivating Data Literacy: How apprenticeships are key to developing a data-savvy workforce, enhancing decision-making and fostering a culture of continuous learning and innovation.
• 10:15 am The Chief Data Officer's Handbook to Artificial Intelligence(UK Virtual) The Chief Data Officer's Handbook to Artificial Intelligence provides an in-depth look at how AI can transform data management and strategy within an organisation. Tailored specifically for Chief Data Officers (CDOs), this guide covers the latest trends, challenges, and opportunities in AI, offering practical insights for leveraging AI to drive business value and innovation. Discussion points: • How can CDOs develop and execute an AI strategy that aligns with the organisation’s overall goals? • What role does AI play in improving data governance, and how can CDOs ensure robust data quality and compliance? • What metrics should CDOs use to measure the success and ROI of AI initiatives?

Speakers

• Kenny McAneaney · Head of Asset Systems & Data, NIE Networks
• Debarya Dutta · Former Head of Data Science & Machine Learning Engineering, Deliveroo

Partners

• Snowflake Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.
• Multiverse

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